Prof. Aaron D. Ward Profile

Prof. Aaron D. Ward

Associate Professor at Western Univ

SPIE Involvement:

Conference Chair | Editorial Board Member: Journal of Medical Imaging | Editor | Author

Publications (48)

SPIE Journal Paper | 21 February 2023

Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinoma

Salma Dammak, Matthew J. Cecchini, Daniel Breadner, Aaron D. Ward

JMI, Vol. 10, Issue 01, 017502, (February 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.1.017502

KEYWORDS: Education and training, Cancer, Tissues, Tumors, Lung, Performance modeling, Deep learning, Tumor growth modeling, Lung cancer, Biopsy

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Proceedings Article | 4 April 2022 Presentation + Paper

Using deep learning to predict tumor mutational burden in lung squamous cell carcinoma from 20 centers

Salma Dammak, Matthew Cecchini, Aaron Ward

Proceedings Volume 12039, 120390T (2022) https://doi.org/10.1117/12.2611569

KEYWORDS: Cancer, Tumors, Tissues, Lung, Lung cancer, Visualization, Data modeling, Machine learning, Artificial neural networks, Genetics

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Proceedings Article | 4 April 2022 Presentation + Paper

Effects of feature type and multiple scanners on brain metastasis stereotactic radiosurgery outcome prediction

David DeVries, Frank Lagerwaard, Jaap Zindler, Timothy Yeung, George Rodrigues, George Hajdok, Aaron Ward

Proceedings Volume 12033, 1203313 (2022) https://doi.org/10.1117/12.2611147

KEYWORDS: Radiotherapy, Scanners, Magnetic resonance imaging, Data modeling, Cancer, Brain, Neuroimaging, Machine learning, Feature extraction, Statistical analysis

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SPIE Journal Paper | 16 July 2020

Automatic cancer detection on digital histopathology images of mid-gland radical prostatectomy specimens

Wenchao Han, Carol Johnson, Andrew Warner, Mena Gaed, José Gomez, Madeleine Moussa, Joseph Chin, Stephen Pautler, Glenn Bauman, Aaron Ward

JMI, Vol. 7, Issue 04, 047501, (July 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.4.047501

KEYWORDS: Tissues, Cancer, Image segmentation, Pathology, Machine learning, Scanners, Principal component analysis, Tumors, Prostate

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Proceedings Article | 16 March 2020 Paper

Evaluating texture-based prostate cancer classification on multi-parametric magnetic resonance imaging and prostate specific membrane antigen positron emission tomography

R. Alfano, G. Bauman, J. Thiessen, I. Rachinsky, W. Pavlosky, J. Butler, M. Gaed, M. Moussa, J. Gomez, J. Chin, S. Pautler, A. Ward

Proceedings Volume 11314, 113143F (2020) https://doi.org/10.1117/12.2551077

KEYWORDS: Positron emission tomography, Feature selection, Principal component analysis, Magnetic resonance imaging, Prostate, Biopsy, Computer aided diagnosis and therapy, Solid modeling, Feature extraction, Prostate cancer

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Proceedings Article | 16 March 2020 Presentation + Paper

Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens

Salma Dammak, Matthew Cecchini, Katherina Baranova, David Palma, Keith Kwan, Aaron Ward

Proceedings Volume 11320, 1132005 (2020) https://doi.org/10.1117/12.2549307

KEYWORDS: Cancer, Lung cancer, Medicine, Genetics, Lung, Convolutional neural networks, Decision support systems, Computer aided diagnosis and therapy, Pathology, Medical imaging

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Proceedings Article | 16 March 2020 Presentation + Paper

Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens

W. Han, M. Downes, T. van der Kwast, J. Chin, S. Pautler, A. Ward

Proceedings Volume 11320, 113200H (2020) https://doi.org/10.1117/12.2551529

KEYWORDS: Tissues, Cancer, Pathology, Oncology, Prostate cancer, Error analysis, Medical research, Surgery, Tumors

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Proceedings Article | 18 March 2019 Presentation + Paper

Automatic high-grade cancer detection on prostatectomy histopathology images

W. Han, C. Johnson, M. Gaed, J. Gomez, M. Moussa, J. Chin, S. Pautler, G. Bauman, A. Ward

Proceedings Volume 10956, 109560D (2019) https://doi.org/10.1117/12.2512916

KEYWORDS: Cancer, Tumors, Tissues, Feature selection, Computing systems, Imaging systems, Pathology, Machine learning

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Proceedings Article | 13 March 2019 Presentation + Paper

Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance?

R. Alfano, D. Soetemans, G. Bauman, M. Gaed, M. Moussa, J. Gomez, J. Chin, S. Pautler, A. Ward

Proceedings Volume 10950, 109501D (2019) https://doi.org/10.1117/12.2513301

KEYWORDS: Tissues, Magnetic resonance imaging, Prostate cancer, Prostate, Computer aided diagnosis and therapy, Error analysis, Classification systems, Feature selection

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Proceedings Article | 6 March 2018 Presentation + Paper

Automatic cancer detection and localization on prostatectomy histopathology images

W. Han, C. Johnson, M. Gaed, J. Gomez, M. Moussa, J. Chin, S. Pautler, G. Bauman, A. Ward

Proceedings Volume 10581, 105810Q (2018) https://doi.org/10.1117/12.2292450

KEYWORDS: Tissues, Cancer, Pathology, Computing systems, Feature selection, Volume rendering, Machine learning, Prostate, Imaging systems, Tumors

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Proceedings Article | 6 March 2018 Paper

3D human lung histology reconstruction and registration to in vivo imaging

Sean A. Pentinga, Keith Kwan, Sarah Mattonen, Carol Johnson, Alexander Louie, Mark Landis, Richard Inculet, Richard Malthaner, Dalilah Fortin, George Rodrigues, Brian Yaremko, David Palma, Aaron Ward

Proceedings Volume 10581, 105810V (2018) https://doi.org/10.1117/12.2292210

KEYWORDS: Tissues, Lung, Computed tomography, Image registration, In vivo imaging, Pathology, Lung cancer, 3D image processing, Surgery, Cancer

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Proceedings Article | 27 February 2018 Presentation + Paper

Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI

R. Alfano, D. Soetemans, G. Bauman, E. Gibson, M. Gaed, M. Moussa, J. Gomez, J. Chin, S. Pautler, A. Ward

Proceedings Volume 10575, 1057515 (2018) https://doi.org/10.1117/12.2293341

KEYWORDS: Cancer, Computer aided diagnosis and therapy, Prostate cancer, Magnetic resonance imaging

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Proceedings Article | 27 February 2018 Paper

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design

Salma Dammak, David Palma, Sarah Mattonen, Suresh Senan, Aaron Ward

Proceedings Volume 10575, 1057503 (2018) https://doi.org/10.1117/12.2292444

KEYWORDS: Computed tomography, Lung cancer, Radiotherapy, Feature selection, Injuries, Cancer, Lung, Feature extraction, Imaging systems, Oncology

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Proceedings Article | 3 March 2017 Paper

Prostate lesion detection and localization based on locality alignment discriminant analysis

Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek Cool, Zahra Kassam, Tommy W. Chow, Aaron Ward, Bernard Chiu

Proceedings Volume 10134, 101344A (2017) https://doi.org/10.1117/12.2255621

KEYWORDS: Medical imaging, Prostate, Cancer, Magnetic resonance imaging, Biopsy, Therapeutics, Algorithm development, Prostate cancer, Image segmentation, Tissues, Matrices

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Proceedings Article | 3 March 2017 Presentation + Paper

Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order

Layan Nahlawi, Caroline Goncalves, Farhad Imani, Mena Gaed, Jose Gomez, Madeleine Moussa, Eli Gibson, Aaron Fenster, Aaron Ward, Purang Abolmaesumi, Parvin Mousavi, Hagit Shatkay

Proceedings Volume 10135, 101351D (2017) https://doi.org/10.1117/12.2255798

KEYWORDS: Computational modeling, Stochastic processes, Time series analysis, Expectation maximization algorithms, Tumor growth modeling, Data modeling, Tissues, Ultrasonography, Prostate cancer, Performance modeling, Prostate, Biopsy, Statistical modeling

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SPIE Journal Paper | 28 February 2017

Differentiation of arterioles from venules in mouse histology images using machine learning

J. Sachi Elkerton, Yiwen Xu, J. Geoffrey Pickering, Aaron Ward

JMI, Vol. 4, Issue 02, 021104, (February 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.021104

KEYWORDS: Tissues, Machine learning, Feature selection, Feature extraction, Error analysis, Classification systems, Image segmentation, Statistical analysis, Ischemia, Image classification

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SPIE Journal Paper | 7 November 2016

Postediting prostate magnetic resonance imaging segmentation consistency and operator time using manual and computer-assisted segmentation: multiobserver study

Maysam Shahedi, Derek Cool, Cesare Romagnoli, Glenn Bauman, Matthew Bastian-Jordan, George Rodrigues, Belal Ahmad, Michael Lock, Aaron Fenster, Aaron Ward

JMI, Vol. 3, Issue 04, 046002, (November 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.4.046002

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Error analysis, Bladder, Image processing algorithms and systems, Principal component analysis, 3D modeling, Cancer, Prostate cancer

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Proceedings Article | 24 March 2016 Paper

Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancer

Sarah Mattonen, Carol Johnson, David Palma, George Rodrigues, Alexander Louie, Suresh Senan, Timothy P. Yeung, Aaron Ward

Proceedings Volume 9785, 97851F (2016) https://doi.org/10.1117/12.2217236

KEYWORDS: Lung cancer, Oncology, Radiotherapy, Injuries, Cancer, Computed tomography, Lung, Surgery, Image classification, Image segmentation, Feature selection

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Proceedings Article | 24 March 2016 Paper

Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study

Farhad Imani, Sahar Ghavidel, Purang Abolmaesumi, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose Gomez, Cesare Romagnoli, Derek Cool, Matthew Bastian-Jordan, Zahra Kassam, D. Robert Siemens, Michael Leveridge, Silvia Chang, Aaron Fenster, Aaron Ward, Parvin Mousavi

Proceedings Volume 9785, 97851K (2016) https://doi.org/10.1117/12.2217205

KEYWORDS: Ultrasonography, Magnetic resonance imaging, Prostate cancer, Principal component analysis, In vivo imaging, Cancer, Image fusion, Image registration, Receivers, Tissues, Data modeling, Tumor growth modeling

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Proceedings Article | 23 March 2016 Paper

3D morphological measurement of whole slide histological vasculature reconstructions

Yiwen Xu, J. Pickering, Zengxuan Nong, Aaron Ward

Proceedings Volume 9791, 97910N (2016) https://doi.org/10.1117/12.2214871

KEYWORDS: 3D metrology, Tissues, Visualization, 3D modeling, Pathology, 3D visualizations, Arteries, Ischemia, Capillaries, 3D acquisition

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Proceedings Article | 23 March 2016 Paper

Differentiation of arterioles from venules in mouse histology images using machine learning

J. Elkerton, Yiwen Xu, J. Pickering, Aaron Ward

Proceedings Volume 9791, 97910G (2016) https://doi.org/10.1117/12.2217178

KEYWORDS: Machine learning, Image classification, Ischemia, Receivers, Feature selection, Classification systems, Pathology, Statistical analysis, Shape analysis, Tissues, Feature extraction, Cancer, Image segmentation

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Proceedings Article | 18 March 2016 Paper

Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

Sahar Ghavidel, Farhad Imani, Siavash Khallaghi, Eli Gibson, Amir Khojaste, Mena Gaed, Madeleine Moussa, Jose Gomez, D. Robert Siemens, Michael Leveridge, Silvia Chang, Aaron Fenster, Aaron Ward, Purang Abolmaesumi, Parvin Mousavi

Proceedings Volume 9786, 97860K (2016) https://doi.org/10.1117/12.2216922

KEYWORDS: Ultrasonography, Cancer, Tissues, Prostate cancer, In vivo imaging, Feature selection, Data modeling, Machine learning, Receivers

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Proceedings Article | 18 March 2016 Paper

How does prostate biopsy guidance error impact pathologic cancer risk assessment?

Peter Martin, Mena Gaed, José Gómez, Madeleine Moussa, Eli Gibson, Derek Cool, Joseph Chin, Stephen Pautler, Aaron Fenster, Aaron Ward

Proceedings Volume 9786, 97861J (2016) https://doi.org/10.1117/12.2217334

KEYWORDS: Biopsy, Cancer, Prostate, Probability theory, Prostate cancer, Pathology, Magnetic resonance imaging, 3D acquisition, 3D image processing, Surveillance, Tumors, Monte Carlo methods, Principal component analysis, Error analysis

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SPIE Journal Paper | 12 November 2015

Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapy

Sarah Mattonen, Shyama Tetar, David Palma, Alexander Louie, Suresh Senan, Aaron Ward

JMI, Vol. 2, Issue 04, 041010, (November 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.4.041010

KEYWORDS: Image segmentation, Computed tomography, Lung, Lung cancer, Radiotherapy, Tumors, Injuries, Decision support systems, Image analysis, Image classification

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Proceedings Article | 19 March 2015 Paper

Segmentation of digitized histological sections for vasculature quantification in the mouse hind limb

Yiwen Xu, J. Pickering, Zengxuan Nong, Aaron Ward

Proceedings Volume 9420, 942003 (2015) https://doi.org/10.1117/12.2081506

KEYWORDS: Tissues, Image segmentation, Deconvolution, Ischemia, Image registration, 3D metrology, Visualization, Binary data, Cancer, Proteins

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Proceedings Article | 18 March 2015 Paper

Optimizing MRI-targeted fusion prostate biopsy: the effect of systematic error and anisotropy on tumor sampling

Peter Martin, Derek Cool, Cesare Romagnoli, Aaron Fenster, Aaron Ward

Proceedings Volume 9415, 94151J (2015) https://doi.org/10.1117/12.2081211

KEYWORDS: Tumors, Biopsy, Error analysis, 3D acquisition, Prostate, Anisotropy, Magnetic resonance imaging, Principal component analysis, 3D image processing, Ultrasonography

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Proceedings Article | 17 March 2015 Paper

Texture analysis of automatic graph cuts segmentations for detection of lung cancer recurrence after stereotactic radiotherapy

Sarah Mattonen, David Palma, Cornelis J. Haasbeek, Suresh Senan, Aaron Ward

Proceedings Volume 9417, 941719 (2015) https://doi.org/10.1117/12.2081427

KEYWORDS: Image segmentation, Lung, Computed tomography, Lung cancer, Radiotherapy, Cancer, Therapeutics, Image classification, Surgery, Receivers

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Proceedings Article | 21 March 2014 Paper

Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts

Eli Gibson, Mena Gaed, Thomas Hrinivich, José Gómez, Madeleine Moussa, Cesare Romagnoli, Jonathan Mandel, Matthew Bastian-Jordan, Derek Cool, Suha Ghoul, Stephen Pautler, Joseph Chin, Cathie Crukley, Glenn Bauman, Aaron Fenster, Aaron Ward

Proceedings Volume 9041, 90410N (2014) https://doi.org/10.1117/12.2043324

KEYWORDS: Tumors, Tissues, Image registration, Cancer, Magnetic resonance imaging, Prostate cancer, Image fusion, In vivo imaging, 3D image reconstruction, 3D image processing

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Proceedings Article | 20 March 2014 Paper

3D reconstruction of digitized histological sections for vasculature quantification in the mouse hind limb

Yiwen Xu, J. Geoffrey Pickering, Zengxuan Nong, Eli Gibson, Aaron Ward

Proceedings Volume 9041, 90410G (2014) https://doi.org/10.1117/12.2042895

KEYWORDS: Tissues, 3D modeling, Image registration, Error analysis, Visualization, Reconstruction algorithms, 3D visualizations, Pathology, RGB color model, Computed tomography

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Proceedings Article | 20 March 2014 Paper

Accuracy and variability of tumor burden measurement on multi-parametric MRI

Mehrnoush Salarian, Eli Gibson, Maysam Shahedi, Mena Gaed, José Gómez, Madeleine Moussa, Cesare Romagnoli, Derek Cool, Matthew Bastian-Jordan, Joseph Chin, Stephen Pautler, Glenn Bauman, Aaron Ward

Proceedings Volume 9041, 90410I (2014) https://doi.org/10.1117/12.2043716

KEYWORDS: Magnetic resonance imaging, Prostate, Prostate cancer, Error analysis, Tissues, Biopsy, Cancer, Image registration, Algorithm development, Neodymium

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Proceedings Article | 13 March 2014 Paper

Early prediction of lung cancer recurrence after stereotactic radiotherapy using second order texture statistics

Sarah Mattonen, David Palma, Cornelis Haasbeek, Suresh Senan, Aaron Ward

Proceedings Volume 9038, 90380T (2014) https://doi.org/10.1117/12.2042700

KEYWORDS: Lung, Computed tomography, Image segmentation, Lung cancer, Radiotherapy, Cancer, Error analysis, Injuries, Opacity, Solids

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Proceedings Article | 13 March 2014 Paper

Metastatic brain cancer: prediction of response to whole-brain helical tomotherapy with simultaneous intralesional boost for metastatic disease using quantitative MR imaging features

Harish Sharma, Glenn Bauman, George Rodrigues, Robert Bartha, Aaron Ward

Proceedings Volume 9038, 90381T (2014) https://doi.org/10.1117/12.2043758

KEYWORDS: Tumors, Magnetic resonance imaging, Brain, Radiotherapy, Brain cancer, Neuroimaging, Cancer, Surgery, Tissues, Solids

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Proceedings Article | 12 March 2014 Paper

Evaluating the utility of 3D TRUS image information in guiding intra-procedure registration for motion compensation

Tharindu De Silva, Derek Cool, Cesare Romagnoli, Aaron Fenster, Aaron Ward

Proceedings Volume 9036, 90361B (2014) https://doi.org/10.1117/12.2043129

KEYWORDS: 3D acquisition, Image registration, 3D image processing, Biopsy, 3D image enhancement, Image acquisition, Image enhancement, Prostate, Motion measurement, Ultrasonography

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Proceedings Article | 12 March 2014 Paper

A dimensionless dynamic contrast enhanced MRI parameter for intra-prostatic tumour target volume delineation: initial comparison with histology

W. Thomas Hrinivich, Eli Gibson, Mena Gaed, Jose Gomez, Madeleine Moussa, Charles McKenzie, Glenn Bauman, Aaron Ward, Aaron Fenster, Eugene Wong

Proceedings Volume 9036, 90362I (2014) https://doi.org/10.1117/12.2043593

KEYWORDS: Cancer, Magnetic resonance imaging, Prostate, Tissues, Tumor growth modeling, Model-based design, Gadolinium, Chromium, Prostate cancer, 3D image processing

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Proceedings Article | 12 March 2014 Paper

Toward 3D-guided prostate biopsy target optimization: an estimation of tumor sampling probabilities

Peter Martin, Derek Cool, Cesare Romagnoli, Aaron Fenster, Aaron Ward

Proceedings Volume 9036, 90361C (2014) https://doi.org/10.1117/12.2043543

KEYWORDS: Tumors, Biopsy, 3D acquisition, Error analysis, Prostate, Magnetic resonance imaging, Spherical lenses, Biological research, Principal component analysis, 3D image processing

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Proceedings Article | 29 March 2013 Paper

Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José Gómez, Madeleine Moussa, Glenn Bauman, Aaron Ward

Proceedings Volume 8676, 86760F (2013) https://doi.org/10.1117/12.2007103

KEYWORDS: Pathology, Prostate cancer, Prostate, Cancer, Tissues, Principal component analysis, 3D metrology, Statistical analysis, Binary data, 3D image processing

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Proceedings Article | 29 March 2013 Paper

3D prostate histology reconstruction: an evaluation of image-based and fiducial-based algorithms

Eli Gibson, Mena Gaed, José Gómez, Madeleine Moussa, Cesare Romagnoli, Joseph Chin, Cathie Crukley, Glenn Bauman, Aaron Fenster, Aaron Ward

Proceedings Volume 8676, 86760A (2013) https://doi.org/10.1117/12.2006897

KEYWORDS: Reconstruction algorithms, Magnetic resonance imaging, 3D image reconstruction, Tissues, Image registration, Error analysis, Prostate cancer, 3D image processing, Prostate, Cancer

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Proceedings Article | 29 March 2013 Paper

CT image feature analysis in distinguishing radiation fibrosis from tumour recurrence after stereotactic ablative radiotherapy (SABR) for lung cancer: a preliminary study

Sarah Mattonen, David Palma, Cornelis J. A. Haasbeek, Suresh Senan, Aaron Ward

Proceedings Volume 8672, 86720L (2013) https://doi.org/10.1117/12.2006456

KEYWORDS: Computed tomography, Radiotherapy, Lung, Image analysis, Cancer, Lung cancer, Opacity, 3D metrology, Injuries, Image segmentation

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Proceedings Article | 12 March 2013 Paper

Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis

Maysam Shahedi, Aaron Fenster, Derek Cool, Cesare Romagnoli, Aaron Ward

Proceedings Volume 8671, 86710N (2013) https://doi.org/10.1117/12.2006465

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, 3D image processing, 3D modeling, Cancer, Medical imaging, Data modeling, Magnetism, Shape analysis

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Proceedings Article | 14 April 2012 Paper

3D reconstruction of prostate histology based on quantified tissue cutting and deformation parameters

Eli Gibson, José Gómez, Madeleine Moussa, Cathie Crukley, Glenn Bauman, Aaron Fenster, Aaron Ward

Proceedings Volume 8317, 83170N (2012) https://doi.org/10.1117/12.912363

KEYWORDS: Tissues, 3D modeling, Magnetic resonance imaging, Affine motion model, Prostate, Image processing, Image registration, 3D image processing, Reconstruction algorithms, Pathology

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Proceedings Article | 17 February 2012 Paper

2D-3D rigid registration to compensate for prostate motion during 3D TRUS-guided biopsy

Tharindu De Silva, Aaron Fenster, Jeffrey Bax, Lori Gardi, Cesare Romagnoli, Jagath Samarabandu, Aaron Ward

Proceedings Volume 8316, 83160O (2012) https://doi.org/10.1117/12.912303

KEYWORDS: 3D acquisition, Image registration, 3D image processing, Biopsy, Prostate, Ultrasonography, Rigid registration, Target acquisition, Detection and tracking algorithms, Image restoration

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Proceedings Article | 26 March 2011 Paper

Quantification of prostate deformation due to needle insertion during TRUS-guided biopsy: comparison of hand-held and mechanically stabilized systems

Tharindu De Silva, Jeffrey Bax, Aaron Fenster, Jagath Samarabandu, Aaron Ward

Proceedings Volume 7968, 79680U (2011) https://doi.org/10.1117/12.878359

KEYWORDS: Biopsy, Prostate, Tissues, Image registration, 3D acquisition, Ultrasonography, Cancer, Prostate cancer, Target detection, 3D image processing

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Proceedings Article | 9 March 2011 Paper

Image-guided prostate sectioning supporting registration of graded cancerous foci from digital histopathology images to in vivo MRI: an interactive 3D visualization tool

E. Gibson, A. Fenster, C. Crukley, C. McKenzie, J. Gomez, M. Moussa, G. Bauman, A. Ward

Proceedings Volume 7965, 79650D (2011) https://doi.org/10.1117/12.877468

KEYWORDS: In vivo imaging, Image registration, Magnetic resonance imaging, Visualization, Prostate, Cancer, 3D visualizations, Tissues, Prostate cancer, Image processing

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Proceedings Article | 4 March 2011 Paper

Segmentation of the lumen and media-adventitia boundaries of the common carotid artery from 3D ultrasound images

E. Ukwatta, J. Awad, A. Ward, J. Samarabandu, A. Krasinski, G. Parraga, A. Fenster

Proceedings Volume 7963, 79630G (2011) https://doi.org/10.1117/12.877722

KEYWORDS: Image segmentation, 3D image processing, Arteries, 3D metrology, Ultrasonography, Image processing algorithms and systems, Image filtering, Medical research, Speckle, Simulation of CCA and DLA aggregates

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Proceedings Article | 24 February 2010 Paper

Assessment of registration accuracy in three-dimensional transrectal ultrasound images of prostates

V. Karnik, A. Fenster, J. Bax, D. Cool, L. Gardi, I. Gyacskov, C. Romagnoli, A. Ward

Proceedings Volume 7625, 762516 (2010) https://doi.org/10.1117/12.844332

KEYWORDS: Prostate, Image registration, Biopsy, Image segmentation, 3D image processing, 3D acquisition, Ultrasonography, Transducers, Rigid registration, Prostate cancer

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Proceedings Article | 3 March 2007 Paper

3D surface parameterization using manifold learning for medial shape representation

Aaron Ward, Ghassan Hamarneh

Proceedings Volume 6512, 65120X (2007) https://doi.org/10.1117/12.710472

KEYWORDS: 3D image processing, Binary data, Image segmentation, Magnetic resonance imaging, Complex systems, Medical imaging, Brain mapping, Brain, Image processing, Visualization

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Proceedings Article | 13 March 2006 Paper

3D shape description of the bicipital groove of the proximal humerus

Aaron Ward, Mark Schweitzer, Ghassan Hamarneh

Proceedings Volume 6143, 614327 (2006) https://doi.org/10.1117/12.654159

KEYWORDS: Shape analysis, Image segmentation, Statistical analysis, Visualization, Computed tomography, Bone, Head, 3D metrology, Medical imaging, Injuries

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Proceedings Article | 24 February 2005 Paper

Attributed vector quantization: a new paradigm for image segmentation and pattern acquisition

Aaron Ward, Xue Dong Yang

Proceedings Volume 5679, (2005) https://doi.org/10.1117/12.587065

KEYWORDS: Image segmentation, Quantization, Image processing, Copper, Detection and tracking algorithms, Image processing algorithms and systems, Systems modeling, Visual process modeling, Statistical analysis, Process modeling

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